Senior Machine Learning Engineer

Santa Monica, CA

Full Time
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Posted 2 weeks ago

About Us:

PlayQ is a rapidly growing global entertainment and technology company delivering high-quality mobile titles and innovative game development solutions to a worldwide audience. Our games have been downloaded more than 60 million times across the globe, with millions of users playing every day! 

Our dedicated teams, based in downtown Santa Monica, CA, work together to craft the clever, visually stunning, and unforgettable experiences that our players love. Our emphasis on individual leadership means each team member has the opportunity to make a big impact, while our commitment to creative freedom gives them the ability to create whatever they can imagine. 

It’s this mindset that has led us to develop our own IP, infuse games with rich storytelling, build our own development tools, and solve the deepest technical challenges - all in the name of disrupting the mobile gaming landscape.

Job Overview:

PlayQ is looking for a highly motivated and skilled Senior Machine Learning Engineer to help us unlock the full potential of our data science capabilities. In this role, you’ll have the exciting opportunity to work closely with our data team to help us design, develop, and deploy machine learning models as we continue to scale our platform and infrastructure. You will also work closely with our product & marketing teams in everything from the ideation, research & prototyping of modeling approaches, and to scaling & deploying models in our gaming platform.

Our ideal candidate is a team player who loves to build data products and technologies and wants to lead the end-to-end machine learning process. You also should possess a passion and deep theoretical knowledge of machine learning & neural networks and can discuss in depth the strengths, and drawbacks of various techniques & algorithms for various business requirements.

If you’re excited by the opportunity to make a big impact by owning our machine learning strategy & operations then we’d love to hear from you!

Responsibilities:

  • Design and implement machine learning systems and bring state-of-art ML methods into real application
  • Work with data scientists, product management and engineering to implement data science use cases
  • Identify key insights and build machine learning applications that will increase player engagement and retention
  • Develop, deploy and continuously improve data products in the areas of LTV/churn prediction, product recommendations, bandit models etc.
  • Build and design ML infrastructure including building resilient data pipelines, monitors, experimentations, APIs and data connectors
  • Run regular A/B tests, perform statistical analysis, draw conclusions on the impact of the models

Requirements:

  • MS, or PhD in computer science, applied statistics or other quantitative fields, or equivalent practical work experience
  • 7+ years of hands-on experience in applied machine learning and in deploying machine learning models at scale
  • In-depth experience leading end-to-end machine learning projects
  • Possess real-world experience in building and scaling machine learning algorithms.
  • Strong breadth of ML techniques including classification, regression, clustering and reinforcement learning
  • Full-stack development experience in building data products and production data pipelines to support data and analytics functions
  • Expert level Python skills and in machine learning libraries including Scikit-Learn/Tensorflow/Pytorch.
  • Experience with SQL and NoSQL databases (Snowflake, DynamoDB)
  • Knowledge of statistical hypothesis testing, Bayesian inference methods and statistical distributions
  • Great communication & teamwork skills
  • Self-starter with meticulous attention to detail

Bonus Points:

  • Experience working in the mobile gaming industry

Perks:

  • Competitive compensation and equity options
  • Comprehensive medical, dental, vision, life and long term disability insurance
  • Flexible time off
  • 401K plan with company match
  • Stocked kitchen with free snacks and beverages of your choice
  • Catered weekly team lunches
  • Brand new penthouse office space equipped with outdoor patios offering beachfront views
  • Monthly team outings and volunteer opportunities
  • Help build and support awesome GAMES. For a living! Who doesn't love games?

Interested? Please get in touch!

Job tags: Engineering Machine Learning Marketing ML NoSQL Python PyTorch Research Scikit-Learn SQL TensorFlow
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